Editors:
- Addresses important technical issues concerning welding robots, such as intelligent technologies and systems, analysis, and design
- Focuses on the development of intelligent modeling, controlling, monitoring, evaluating and optimizing manufacturing processes in connection with joining technologies
- Presents the scientific outcomes of the 2017 International Workshop on Intelligentized Welding Manufacturing
- Includes supplementary material: sn.pub/extras
Part of the book series: Transactions on Intelligent Welding Manufacturing (TRINWM)
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Table of contents (15 papers)
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Front Matter
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Feature Articles
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Front Matter
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Research Papers
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Front Matter
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Back Matter
About this book
The primary aim of this volume is to provide researchers and engineers from both academia and industry with up-to-date coverage of recent advances in the fields of robotic welding, intelligent systems and automation. It gathers selected papers from the 2017 International Workshop on Intelligentized Welding Manufacturing (IWIWM’2017), held June 23-26, 2017 in Shanghai, China. The contributions reveal  how intelligentized welding manufacturing (IWM) is becoming an inescapable trend, just as intelligentized robotic welding is becoming a key technology. The volume is divided into four main parts: Intelligent Techniques for Robotic Welding, Sensing in Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, and Intelligent Control and its Applications in Engineering.
Editors and Affiliations
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School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
Shanben Chen
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Department of Electrical and Computer Engineering, University of Kentucky, Lexington, USA
Yuming Zhang
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Oak Ridge National Laboratory, Oak Ridge, USA
Zhili Feng
About the editors
Dr. Shanben Chen (SB Chen) received his BS degree in industrial automation from Dalian Railway Institute (Dalian Jiao Tong University) in 1982, and received his MS and PhD in control theory and application from Harbin Institute of Technology, China, in 1987 and 1991, respectively. He worked as a postdoctoral fellow at the National Key Laboratory of Advanced Welding Production of China in Harbin Institute of Technology (HIT) from 1993 to 1995, and as a professor from 1995 to 2000.Â
From 2000 to present, he has served as the Special Professor, Cheung Kong Scholar Program of the Ministry of Education of China & Li Ka Shing Foundation, Hong Kong, and engaged at Shanghai Jiao Tong University, China, where he is also director of the Intelligentized Robotic Welding Technology Laboratory. Prof. Chen has also been a visiting professor at the University of Western Sydney (UWS) in connection with the ARC Linkage collaboration since 2009.Â
Currently, Prof. Chen is a senior member ofthe IEEE; a member of the American Welding Society; Chair of the Robotics & Automation Committee of the Chinese Welding Society (CWS); Deputy Secretary-General of the Chinese Welding Society; and a standing member of the Board of Directors, CWS.
YuMing Zhang - FAWS, FASME, FSME, SIEEE, Professor and James Boyd Professor in Electrical Engineering - has been with the University of Kentucky, Lexington, USA since 1991, and became a Full Professor in 2005. He received his BS and MS degrees in control theory and application from Harbin Institute of Technology (HIT), China, where he completed his PhD degree in welding in 1990. He has published 180 peer-reviewed journal papers and holds 8 US patents.Â
Dr. Zhili Feng leads the Materials Joining Team, and is a Distinguished R&D Staff at Oak Ridge National Laboratory, where he manages 10 scientists and supporting staff, conducting both fundamental and applied R&D and pursuing technological innovations for diverse interdisciplinary subjects related to materials joining and materials manufacturing processes, with an annual R&D budget of $15 million.Â
Bibliographic Information
Book Title: Transactions on Intelligent Welding Manufacturing
Book Subtitle: Volume I No. 1 2017
Editors: Shanben Chen, Yuming Zhang, Zhili Feng
Series Title: Transactions on Intelligent Welding Manufacturing
DOI: https://doi.org/10.1007/978-981-10-5355-9
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2018
Hardcover ISBN: 978-981-10-5354-2Published: 03 August 2017
Softcover ISBN: 978-981-13-5375-8Published: 23 December 2018
eBook ISBN: 978-981-10-5355-9Published: 01 August 2017
Series ISSN: 2520-8519
Series E-ISSN: 2520-8527
Edition Number: 1
Number of Pages: VIII, 170
Number of Illustrations: 76 b/w illustrations
Topics: Robotics and Automation, Artificial Intelligence, Industrial and Production Engineering, Control and Systems Theory